These settings apply to normal, functioning Windows 10 and 11 Pro desktops and laptops with
- wired Ethernet
- Wi-Fi
- Bluetooth
- IPv4
- IPv6
- no touch screen
| Cheef's Grand APDU List Smartcard Selected Information APDU list | |
| Reference: http://web.archive.org/web/20090630004017/http://cheef.ru/docs/HowTo/APDU.info | |
| #------------+------------------------+------------------------+----------------------+--------------------------------+ | |
| |ClaIns P1 P2|Lc Send Data |Le Recv Data | Specification | Description | | |
| +------------+------------------------+------------------------+----------------------+--------------------------------+ | |
| | 04 | ISO 7816-9 6.3 | DEACTIVATE FILE | | |
| | A0 04 00 00 00 | 3GPP TS 11.11 | INVALIDATE | | |
| | A0 04 00 00 00 | SAGEM SCT U34 6.15 | INVALIDATE | | |
| +------------+------------------------+------------------------+----------------------+--------------------------------+ |
| #!/usr/bin/python | |
| import glob | |
| import socket | |
| import time | |
| from threading import Timer | |
| import picamera | |
| import RPi.GPIO as GPIO |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
A collection of links to the excellent "Composing Software" series of medium stories by Eric Elliott.
Edit: I see that each post in the series now has index, previous and next links. However, they don't follow a linear flow through all the articles with some pointing back to previous posts effectively locking you in a loop.
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